Algora

24/7 Live Agentic Governance Platform

A living Agora where infinitely scalable AI personas engage in continuous deliberation, transparently visualizing all governance activities and decision-making flows for MOC (Moss Coin) holders in real-time.

Domain: algora.moss.land

한국어 문서 (Korean)

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Overview

Algora is a live AI governance platform featuring:

• Scalable AI Agents: Diverse personas that continuously discuss and deliberate
• Real-time Activity: Never-stopping activity feed showing system operations
• Human-in-the-Loop: AI recommends, humans decide
• Cost Optimization: 3-tier LLM system balancing quality and cost
• Full Auditability: Every output includes provenance metadata

Core Loop

Reality Signals → Issues → Agentic Deliberation → Human Decision → Execution → Outcome Proof
       ↓              ↓              ↓                  ↓              ↓            ↓
   RSS/GitHub    Auto-detect    30-Agent Debate    MOC Voting    Execution    KPI Verify
   On-chain                   (Bustling Agora)                   Record

Features

Dynamic Persona Spectrum

Initial 30 AI agents organized into strategic clusters (infinitely scalable):

• Visionaries: Future-oriented thinkers (AGI advocate, Metaverse native, etc.)
• Builders: Engineering guild (Rust evangelist, UX perfectionist, etc.)
• Investors: Market watchers (Diamond hand, Degen trader, etc.)
• Guardians: Risk management (Compliance officer, White hat, etc.)
• Operatives: Data collection specialists
• Moderators: Discussion facilitators
• Advisors: Domain experts

Dynamic Summoning

Only relevant agents are summoned based on issue type, preventing chaos while maintaining lively discussion.

3-Tier LLM System

Tier	Cost	Use Case
Tier 0	Free	Data collection (RSS, GitHub, On-chain)
Tier 1	Local LLM	Agent chatter, simple summaries
Tier 2	External LLM	Serious deliberation, Decision Packets

UX Guide System

• Interactive Welcome Tour: First-time visitors get a guided walkthrough of the system
• System Flow Guide: Visual diagram at /guide showing the complete governance pipeline
• Contextual Help Tooltips: Each page has help icons explaining the purpose
• Help Menu: Quick access to restart tour, view guide, and documentation

Automatic Agora Sessions

• Smart Detection: Critical/High priority issues automatically trigger Agora discussions
• Auto Agent Summoning: Relevant AI agents are automatically invited based on issue category
• Efficient Processing: Uses Tier 1 (local LLM) for initial discussion rounds
• Seamless Integration: Auto-created sessions appear in the Agora session list

Technology Stack

• Monorepo: pnpm workspaces + Turborepo
• Backend: Node.js + TypeScript + Express.js + Socket.IO
• Frontend: Next.js 14 + React 18 + TanStack Query
• Styling: Tailwind CSS
• Database: SQLite with WAL mode
• LLM: Anthropic Claude / OpenAI GPT / Google Gemini / Ollama (Local)
• i18n: English / Korean

Quick Start

Prerequisites

• Node.js 20+
• pnpm 8+
• Ollama (for local LLM)

Installation

# Clone repository
git clone https://github.com/mossland/Algora.git
cd Algora

# Install dependencies
pnpm install

# Copy environment file
cp .env.example .env
# Edit .env with your API keys

# Initialize database
pnpm db:init

# Start development server
pnpm dev

Access

• Web: http://localhost:3200
• API: http://localhost:3201

Project Structure

algora/
├── apps/
│   ├── api/                # Express REST API + Socket.IO
│   └── web/                # Next.js Frontend
├── packages/
│   ├── core/               # Shared types, utilities
│   ├── reality-oracle/     # L0: Signal collection
│   ├── inference-mining/   # L1: Issue detection
│   ├── agentic-consensus/  # L2: Agent system
│   ├── human-governance/   # L3: Voting/Delegation
│   └── proof-of-outcome/   # L4: Result tracking
└── docs/                   # Documentation

Documentation

• User Guide - Detailed user guide
• Architecture - System architecture details
• Contributing - Contribution guidelines
• Project Specification - Full specification
• Changelog - Version history

Local LLM Setup

Algora uses Ollama for local LLM inference. Recommended models for Mac mini M4 Pro (64GB):

# Install Ollama
brew install ollama

# Pull recommended models
ollama pull llama3.2:8b      # Fast chatter
ollama pull qwen2.5:32b      # Quality responses

Environment Variables

Key variables (see .env.example for full list):

# External LLM
ANTHROPIC_API_KEY=sk-ant-...
OPENAI_API_KEY=sk-...
GOOGLE_API_KEY=...
LLM_PROVIDER=anthropic

# Local LLM
LOCAL_LLM_ENDPOINT=http://localhost:11434
LOCAL_LLM_MODEL_CHATTER=llama3.2:8b

# Budget
ANTHROPIC_DAILY_BUDGET_USD=10.00

Contributing

We welcome contributions! Please read our Contributing Guide for details.

License

MIT License - see LICENSE for details.

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Built for Mossland | MOC Token Governance